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Mathematical Problems in Engineering
Volume 2014, Article ID 629279, 7 pages
Research Article

Research of Innovation Diffusion on Industrial Networks

1School of Management and Engineering, Nanjing University, Nanjing 210008, China
2School of Management, Jiangsu University, Zhenjiang 212013, China

Received 10 January 2014; Revised 22 June 2014; Accepted 25 June 2014; Published 14 July 2014

Academic Editor: Chuandong Li

Copyright © 2014 Yongtai Chen and Shouwei Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Q. Mo, T. Z. Wu, and C. J. Wu, “An innovation diffusion study based on social networks,” Soft Science, vol. 18, no. 3, pp. 4–6, 2004 (Chinese). View at Google Scholar
  2. Y. Z. Gai and G. J. Sui, “A model of industrial network formation based on contraction theory: the viewpoint of overall cost,” Modern Economic Science, vol. 26, no. 5, pp. 56–59, 2004 (Chinese). View at Google Scholar
  3. J. Ma, F. C. Tang, J. Guo, and Y. M. Xi, “The application of complex networks theory in organization networks study,” Studies in Science of Science, vol. 23, no. 2, pp. 173–178, 2005. View at Google Scholar
  4. M. E. J. Newman, “The structure and function of complex networks,” SIAM Review, vol. 45, no. 2, pp. 167–256, 2003. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  5. R. Albert and A. Barabási, “Statistical mechanics of complex networks,” Reviews of Modern Physics, vol. 74, no. 1, pp. 47–97, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  6. C. Moore and M. E. J. Newman, “Epidemics and percolation in small-world networks,” Physical Review E—Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, vol. 61, no. 5B, pp. 5678–5682, 2000. View at Google Scholar · View at Scopus
  7. R. Pastor-Satorras and A. Vespignani, “Epidemic spreading in scale-free networks,” Physical Review Letters, vol. 86, no. 14, pp. 3200–3203, 2001. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Wei, “SMEs. Cluster innovation: network effects and knowledge spillovers,” Science Research Management, vol. 24, no. 4, pp. 54–60, 2003 (Chinese). View at Google Scholar
  9. X. Guardiola, A. Díaz-Guilera, C. J. Pérez, A. Arenas, and M. Llas, “Modeling diffusion of innovations in a social network,” Physical Review E, vol. 66, no. 2, Article ID 026121, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. P. R. Krugman, The Self-Organizing Economy, Blackwell, Malden, Mass, USA, 1996.
  11. P. Erdös and A. Rényi, “On the evolution of random graphs,” Publications of the Mathematical Institute of the Hungarian Academy of Sciences, vol. 5, pp. 17–61, 1960. View at Google Scholar · View at MathSciNet